mirror of
https://github.com/Z3Prover/z3
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203 lines
6.9 KiB
C++
203 lines
6.9 KiB
C++
/*++
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Copyright (c) 2021 Microsoft Corporation
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Module Name:
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polysat multiplication overflow constraint
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Author:
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Jakob Rath, Nikolaj Bjorner (nbjorner) 2021-12-09
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--*/
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#include "math/polysat/umul_ovfl_constraint.h"
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#include "math/polysat/solver.h"
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namespace polysat {
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umul_ovfl_constraint::umul_ovfl_constraint(pdd const& p, pdd const& q):
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constraint(ckind_t::umul_ovfl_t), m_p(p), m_q(q) {
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simplify();
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m_vars.append(m_p.free_vars());
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for (auto v : m_q.free_vars())
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if (!m_vars.contains(v))
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m_vars.push_back(v);
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}
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void umul_ovfl_constraint::simplify() {
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if (m_p.is_zero() || m_q.is_zero() || m_p.is_one() || m_q.is_one()) {
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m_q = 0;
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m_p = 0;
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return;
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}
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if (m_p.index() > m_q.index())
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swap(m_p, m_q);
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}
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std::ostream& umul_ovfl_constraint::display(std::ostream& out, lbool status) const {
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switch (status) {
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case l_true: return display(out);
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case l_false: return display(out << "~");
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case l_undef: return display(out << "?");
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}
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return out;
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}
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std::ostream& umul_ovfl_constraint::display(std::ostream& out) const {
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return out << "ovfl*(" << m_p << ", " << m_q << ")";
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}
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lbool umul_ovfl_constraint::eval(pdd const& p, pdd const& q) {
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if (p.is_zero() || q.is_zero() || p.is_one() || q.is_one())
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return l_false;
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if (p.is_val() && q.is_val()) {
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if (p.val() * q.val() > p.manager().max_value())
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return l_true;
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else
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return l_false;
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}
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return l_undef;
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}
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lbool umul_ovfl_constraint::eval() const {
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return eval(p(), q());
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}
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lbool umul_ovfl_constraint::eval(assignment const& a) const {
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return eval(a.apply_to(p()), a.apply_to(q()));
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}
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void umul_ovfl_constraint::narrow(solver& s, bool is_positive, bool first) {
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auto p1 = s.subst(p());
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auto q1 = s.subst(q());
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if (is_always_false(is_positive, p1, q1)) {
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s.set_conflict({ this, is_positive });
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return;
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}
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if (is_always_true(is_positive, p1, q1))
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return;
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if (first)
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activate(s, is_positive);
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if (try_viable(s, is_positive, p(), q(), p1, q1))
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return;
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if (narrow_bound(s, is_positive, p(), q(), p1, q1))
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return;
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if (narrow_bound(s, is_positive, q(), p(), q1, p1))
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return;
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}
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void umul_ovfl_constraint::activate(solver& s, bool is_positive) {
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// TODO - remove to enable
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return;
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if (!is_positive) {
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signed_constraint sc(this, is_positive);
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// ¬Omega(p, q) ==> q = 0 \/ p <= p*q
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// ¬Omega(p, q) ==> p = 0 \/ q <= p*q
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s.add_clause(~sc, s.eq(q()), s.ule(p(), p()*q()), false);
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s.add_clause(~sc, s.eq(p()), s.ule(q(), p()*q()), false);
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}
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}
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/**
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* if p constant, q, propagate inequality
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*/
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bool umul_ovfl_constraint::narrow_bound(solver& s, bool is_positive, pdd const& p0, pdd const& q0, pdd const& p, pdd const& q) {
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LOG("p: " << p0 << " := " << p);
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LOG("q: " << q0 << " := " << q);
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if (!p.is_val())
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return false;
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VERIFY(!p.is_zero() && !p.is_one()); // evaluation should catch this case
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rational const& M = p.manager().two_to_N();
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// q_bound
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// = min q . Ovfl(p_val, q)
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// = min q . p_val * q >= M
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// = min q . q >= M / p_val
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// = ceil(M / p_val)
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rational const q_bound = ceil(M / p.val());
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SASSERT(2 <= q_bound && q_bound <= M/2);
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SASSERT(p.val() * q_bound >= M);
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SASSERT(p.val() * (q_bound - 1) < M);
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// LOG("q_bound: " << q.manager().mk_val(q_bound));
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// We need the following properties for the bounds:
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//
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// p_bound * (q_bound - 1) < M
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// p_bound * q_bound >= M
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//
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// With these properties we get:
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//
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// p <= p_bound & q < q_bound ==> ~Ovfl(p, q)
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// p >= p_bound & q >= q_bound ==> Ovfl(p, q)
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//
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// Written as lemmas:
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//
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// Ovfl(p, q) & p <= p_bound ==> q >= q_bound
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// ~Ovfl(p, q) & p >= p_bound ==> q < q_bound
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//
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signed_constraint sc(this, is_positive);
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if (is_positive) {
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// Find largest bound for p such that q_bound is still correct.
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// p_bound = max p . (q_bound - 1)*p < M
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// = max p . p < M / (q_bound - 1)
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// = ceil(M / (q_bound - 1)) - 1
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rational const p_bound = ceil(M / (q_bound - 1)) - 1;
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SASSERT(p.val() <= p_bound);
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SASSERT(p_bound * q_bound >= M);
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SASSERT(p_bound * (q_bound - 1) < M);
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// LOG("p_bound: " << p.manager().mk_val(p_bound));
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clause_builder lemma(s, "Ovfl(p, q) & p <= p_bound ==> q >= q_bound");
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lemma.insert_eval(~sc);
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lemma.insert_eval(~s.ule(p0, p_bound));
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lemma.insert(s.ule(q_bound, q0));
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s.add_clause(lemma.build());
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}
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else {
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// Find lowest bound for p such that q_bound is still correct.
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// p_bound = min p . Ovfl(p, q_bound) = ceil(M / q_bound)
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rational const p_bound = ceil(M / q_bound);
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SASSERT(p_bound <= p.val());
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SASSERT(p_bound * q_bound >= M);
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SASSERT(p_bound * (q_bound - 1) < M);
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// LOG("p_bound: " << p.manager().mk_val(p_bound));
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clause_builder lemma(s, "~Ovfl(p, q) & p >= p_bound ==> q < q_bound");
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lemma.insert_eval(~sc);
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lemma.insert_eval(~s.ule(p_bound, p0));
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lemma.insert(s.ult(q0, q_bound));
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s.add_clause(lemma.build());
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}
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return true;
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}
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bool umul_ovfl_constraint::try_viable(solver& s, bool is_positive, pdd const& p0, pdd const& q0, pdd const& p, pdd const& q) {
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LOG("p: " << p0 << " := " << p);
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LOG("q: " << q0 << " := " << q);
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signed_constraint sc(this, is_positive);
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return s.m_viable.intersect(p0, q0, sc);
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}
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unsigned umul_ovfl_constraint::hash() const {
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return mk_mix(p().hash(), q().hash(), kind());
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}
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bool umul_ovfl_constraint::operator==(constraint const& other) const {
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return other.is_umul_ovfl() && p() == other.to_umul_ovfl().p() && q() == other.to_umul_ovfl().q();
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}
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void umul_ovfl_constraint::add_to_univariate_solver(pvar v, solver& s, univariate_solver& us, unsigned dep, bool is_positive) const {
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pdd p1 = s.subst(p());
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if (!p1.is_univariate_in(v))
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return;
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pdd q1 = s.subst(q());
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if (!q1.is_univariate_in(v))
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return;
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us.add_umul_ovfl(p1.get_univariate_coefficients(), q1.get_univariate_coefficients(), !is_positive, dep);
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}
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}
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